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Histograms of the predicted adaptation scores of the chroni..:
Anna Hake
;
Anja Germann
;
Corena de Beer
...
doi:10.1371/journal.pcbi.1010355.g001. , 2023
Link:
https://doi.org/10.1371/journal.pcbi.1010355.g001
RT Journal T1
Histograms of the predicted adaptation scores of the chronic lowCD4 data set compared to four other data sets
UL https://suche.suub.uni-bremen.de/peid=base-ftunivoxfordfig:oai:figshare.com:article_24890635&Exemplar=1&LAN=DE A1 Anna Hake A1 Anja Germann A1 Corena de Beer A1 Alexander Thielen A1 Martin Däumer A1 Wolfgang Preiser A1 Hagen von Briesen A1 Nico Pfeifer YR 2023 K1 Medicine K1 Microbiology K1 Genetics K1 Evolutionary Biology K1 Ecology K1 Immunology K1 Infectious Diseases K1 Plant Biology K1 Virology K1 Environmental Sciences not elsewhere classified K1 Biological Sciences not elsewhere classified K1 Mathematical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 sup >+</ sup K1 human leukocyte antigen K1 still high cd4 K1 corresponding hla class K1 div >< p K1 estimating hla adaptation K1 estimate hla adaptation K1 approaching coreceptor switch K1 1 coreceptor usage K1 low cd4 K1 host adaptation K1 learned hla K1 coreceptor usage K1 coreceptor switch K1 viruses within K1 viral adaptation K1 tool compared K1 subtype c K1 south africa K1 phylogenetic relatedness K1 new cohort K1 modeling virus K1 mechanisms triggering K1 ii alleles K1 glmms ) K1 gag </ K1 founder effects K1 env </ K1 entirely understood K1 cell counts K1 bayesian glmms K1 312 treatment K1 1 patients JF doi:10.1371/journal.pcbi.1010355.g001 LK http://dx.doi.org/https://doi.org/10.1371/journal.pcbi.1010355.g001 DO https://doi.org/10.1371/journal.pcbi.1010355.g001 SF ELIB - SuUB Bremen
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